code: def get_cfg():
      language_model = OmegaConf.create(
          {
              "pretrained_model_name": "bert-base-uncased",
              "config_file": None,
              "config": None,
              "lm_checkpoint": None,
          }
      )
  
      tokenizer = OmegaConf.create(
          {
              "tokenizer_name": "bert-base-uncased",
              "vocab_file": None,
              "tokenizer_model": None,
              "do_lower_case": True,
          }
      )
  
      model = OmegaConf.create(
          {
              "nemo_path": "sap_entity_linking.nemo",
              "max_seq_length": 128,
              "language_model": language_model,
              "tokenizer": tokenizer,
              "train_ds": None,
              "validation_ds": None,
          }
      )
  
      cfg = OmegaConf.create({"model": model})
  
      return cfg
  
file_path: NeMo/tests/collections/nlp/test_entity_linking_model.py
imports: import os
  import shutil
  import tempfile
  import pytest
  import wget
  from omegaconf import OmegaConf
  from nemo.collections.nlp.models import EntityLinkingModel
label_desc: Use image node_id 1 for calling a global function with example usage: get_cfg() and returns: cfg